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Ryan Friedman Elite Prospects ↗

Position: Forward DOB: 2004-03-12 Country: USA
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2022-23 Janesville Jets NAHL 8 1 4 5 0.625 0.2220 0.2302 0.6562 0.6804
2023-24 New Jersey Jr. Titans NAHL 56 10 18 28 0.500 0.1776 0.1757 0.5250 0.5193
2024-25 New Jersey Jr. Titans NAHL 59 17 33 50 0.848 0.3010 0.2819 0.8898 0.8334
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2025-26 Trinity D3 NESCAC — 24 4 10 14 0.583
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.58
2025-26 · Trinity
+184.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
15%
NCAA D2/D3
45%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#17752
Forward overall
#899
Forward born in 2004
#1008
in NAHL

D1 Comparables

David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Dale Lupul
Wisconsin-Superior · 2000-01
0.759 Strong
actual D2/3 PPG
Derek Hansberry
Wisconsin-River Falls · 2004-05
1.259 Elite
actual D2/3 PPG
Conor Foley
Franklin Pierce · 2018-19
0.710 Strong
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.